scBench (LatchBio SingleCellBench)
195 verifiable single-cell RNA-seq analysis problems. Each pairs a data snapshot with a task and a deterministic grader.
Anthropic system cards call it LatchBio SingleCellBench with 195 problems, which matches the 195 problems in latchbio/scbench. Only six example problems are public, and the rest are withheld.
- Made by
- LatchBio
- Released
- February 2026
- Kind
- Lab and data work
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- Kept private
- Strongest model tested
- GPT-6 Astra #3 on the capability index
- Last in a system card
- October 2026
- Last model added
- October 2026
- Scores refreshed
- November 12th, 2026
GPT-6 Astra leads with 63.9%
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
GPT-6 Astra leads with 63.9%, claims included
Best score per model from every source, including labs’ own numbers and claims Epoch AI collected from reports and papers. Labs pick their own settings, so a claim can beat an independent run of the same model.
- 63.9 GPT-6 Astra
- 63.6 GPT-6.1 Sol
- 61.9 Claude Opus 5.5
- 61.5 GPT-6 Sol
- 60.5 Claude Fable 5.1
- 60.3 Claude Sonnet 5.5
- 59.8 GPT-5.6 Sol
- 59.1 Grok 4.6
- 59.1
Gemini 4 Argon
- 58.5 Grok 4.7
- 58.3 Claude Opus 5
- 58.3 GPT-6.1 Terra
- 57.1 GPT-5.5
- 57.1 Claude Opus 4.8
- 55.6 Claude Sonnet 5
- 54.7
DeepSeek V4.1 Flash
- 53.9 GPT-6 Luna
- 53.0
Mistral Large 4
- 52.5 Claude Opus 4.7
- 50.4
Gemini 3.7 Flash
- 50.3 GPT-5.6 Luna
- 48.7 GLM-5.3
- 47.5 Kimi K3
- 41.7 Claude Sonnet 4.6
- 36.6 Nemotron 3 Ultra 550B A55B
- 34.0
Gemini 3.8 Flash
- 22.9
Nemotron 3.5 Lightning 30B-A3B
- 1 GPT-6 Astra published v1 63.9%
- 2 GPT-6.1 Sol published v1 63.6%
- 3 Claude Opus 5.5 published v1; LSVP 61.9%
- 4 GPT-6 Sol published v1 61.5%
- 5 Claude Fable 5.1 published v1; LSVP 60.5%
- 6 Claude Sonnet 5.5 published v1 60.3%
- 7 GPT-5.6 Sol published v1 59.8%
- 8 Grok 4.6 published v1 59.1%
- 9
Gemini 4 Argon published v1 59.1%
- 10 Grok 4.7 published v1 58.5%
- 11 Claude Opus 5 published v1 58.3%
- 12 GPT-6.1 Terra published v1 58.3%
- 13 GPT-5.5 published v1 57.1%
- 14 Claude Opus 4.8 published v1 57.1%
- 15 Claude Sonnet 5 published v1 55.6%
- 16
DeepSeek V4.1 Flash published v1 54.7%
- 17 GPT-6 Luna published v1 53.9%
- 18
Mistral Large 4 published v1 53%
- 19 Claude Opus 4.7 published v1 52.5%
- 20
Gemini 3.7 Flash published v1 50.4%
- 21 GPT-5.6 Luna published v1 50.3%
- 22 GLM-5.3 published v1 48.7%
- 23 Kimi K3 published v1 47.5%
- 24 Claude Sonnet 4.6 published v1 41.7%
- 25 Nemotron 3 Ultra 550B A55B published v1 36.6%
- 26
Gemini 3.8 Flash published v1 34%
- 27
Nemotron 3.5 Lightning 30B-A3B published v1 22.9%
Source: Official scBench (LatchBio SingleCellBench) leaderboard
- 63.9 GPT-6 Astra
- 63.6 GPT-6.1 Sol
- 61.9 Claude Fable 5.1
- 61.9 Claude Opus 5.5
- 61.5 GPT-6 Sol
- 60.6 Claude Opus 5
- 60.3 Claude Sonnet 5.5
- 59.8 GPT-5.6 Sol
- 59.1 Grok 4.6
- 59.1
Gemini 4 Argon
- 58.5 Grok 4.7
- 58.3 GPT-6.1 Terra
- 58.2 Claude Opus 4.8
- 57.1 GPT-5.5
- 56.2 Claude Haiku 5.5
- 56.0 Claude Sonnet 5
- 54.7
DeepSeek V4.1 Flash
- 53.9 GPT-6 Luna
- 53.0
Mistral Large 4
- 52.5 Claude Opus 4.7
- 50.4
Gemini 3.7 Flash
- 50.3 GPT-5.6 Luna
- 48.7 GLM-5.3
- 47.5 Kimi K3
- 41.7 Claude Sonnet 4.6
- 34.0
Gemini 3.8 Flash
- 22.9
Nemotron 3.5 Lightning 30B-A3B
- 1 GPT-6 Astra published v1 63.9%
- 2 GPT-6.1 Sol published v1 63.6%
- 3 Claude Fable 5.1 61.9%
- 4 Claude Opus 5.5 published v1; LSVP 61.9%
- 5 GPT-6 Sol published v1 61.5%
- 6 Claude Opus 5 60.6%
- 7 Claude Sonnet 5.5 published v1 60.3%
- 8 GPT-5.6 Sol published v1 59.8%
- 9 Grok 4.6 published v1 59.1%
- 10
Gemini 4 Argon published v1 59.1%
- 11 Grok 4.7 published v1 58.5%
- 12 GPT-6.1 Terra published v1 58.3%
- 13 Claude Opus 4.8 58.2%
- 14 GPT-5.5 published v1 57.1%
- 15 Claude Haiku 5.5 56.2%
- 16 Claude Sonnet 5 56%
- 17
DeepSeek V4.1 Flash published v1 54.7%
- 18 GPT-6 Luna published v1 53.9%
- 19
Mistral Large 4 published v1 53%
- 20 Claude Opus 4.7 published v1 52.5%
- 21
Gemini 3.7 Flash published v1 50.4%
- 22 GPT-5.6 Luna published v1 50.3%
- 23 GLM-5.3 published v1 48.7%
- 24 Kimi K3 published v1 47.5%
- 25 Claude Sonnet 4.6 published v1 41.7%
- 26
Gemini 3.8 Flash published v1 34%
- 27
Nemotron 3.5 Lightning 30B-A3B published v1 22.9%
Sources: Official scBench (LatchBio SingleCellBench) leaderboard and labs’ model cards
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-6 Astra | 63.9% | published v1, Pi | Sep 2026 | Official leaderboard |
| 2 | GPT-6.1 Sol | 63.6% | published v1, Codex | Sep 2026 | Official leaderboard |
| 3 | Claude Opus 5.5 | 61.9% | published v1; LSVP, Pi | Sep 2026 | Official leaderboard |
| 4 | GPT-6 Sol | 61.5% | published v1, Pi | Sep 2026 | Official leaderboard |
| 5 | Claude Fable 5.1 | 60.5% | published v1; LSVP, Pi | Sep 2026 | Official leaderboard |
| 6 | Claude Sonnet 5.5 | 60.3% | published v1, Pi | Sep 2026 | Official leaderboard |
| 7 | GPT-5.6 Sol | 59.8% | published v1, Codex | Jul 2026 | Official leaderboard |
| 8 | Grok 4.6 | 59.1% | published v1, Pi | Aug 2026 | Official leaderboard |
| 9 | | 59.1% | published v1, Pi | Sep 2026 | Official leaderboard |
| 10 | Grok 4.7 | 58.5% | published v1, Pi | Sep 2026 | Official leaderboard |
| 11 | Claude Opus 5 | 58.3% | published v1, Pi | Jul 2026 | Official leaderboard |
| 12 | GPT-6.1 Terra | 58.3% | published v1, Pi | Oct 2026 | Official leaderboard |
| 13 | GPT-5.5 | 57.1% | published v1, Pi | Apr 2026 | Official leaderboard |
| 14 | Claude Opus 4.8 | 57.1% | published v1, Pi | May 2026 | Official leaderboard |
| 15 | Claude Sonnet 5 | 55.6% | published v1, Pi | Jun 2026 | Official leaderboard |
| 16 | | 54.7% | published v1, Pi | Sep 2026 | Official leaderboard |
| 17 | GPT-6 Luna | 53.9% | published v1, Pi | Sep 2026 | Official leaderboard |
| 18 | | 53% | published v1, Pi | Oct 2026 | Official leaderboard |
| 19 | Claude Opus 4.7 | 52.5% | published v1, Claude Code | Apr 2026 | Official leaderboard |
| 20 | | 50.4% | published v1, Pi | Aug 2026 | Official leaderboard |
| 21 | GPT-5.6 Luna | 50.3% | published v1, Pi | Jul 2026 | Official leaderboard |
| 22 | GLM-5.3 | 48.7% | published v1, Pi | Aug 2026 | Official leaderboard |
| 23 | Kimi K3 | 47.5% | published v1, Pi | Jul 2026 | Official leaderboard |
| 24 | Claude Sonnet 4.6 | 41.7% | published v1, Claude Code | Feb 2026 | Official leaderboard |
| 25 | Nemotron 3 Ultra 550B A55B | 36.6% | published v1, Pi | Nov 2026 | Official leaderboard |
| 26 | | 34% | published v1, Pi | Sep 2026 | Official leaderboard |
| 27 | | 22.9% | published v1, Pi | Aug 2026 | Official leaderboard |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-6 Astra | 63.9% | published v1, Pi | Sep 2026 | Official leaderboard |
| 2 | GPT-6.1 Sol | 63.6% | published v1, Codex | Sep 2026 | Official leaderboard |
| 3 | Claude Fable 5.1 | 61.9% | Sep 2026 | Lab model card | |
| 4 | Claude Opus 5.5 | 61.9% | published v1; LSVP, Pi | Sep 2026 | Official leaderboard |
| 5 | GPT-6 Sol | 61.5% | published v1, Pi | Sep 2026 | Official leaderboard |
| 6 | Claude Opus 5 | 60.6% | Jul 2026 | Lab model card | |
| 7 | Claude Sonnet 5.5 | 60.3% | published v1, Pi | Sep 2026 | Official leaderboard |
| 8 | GPT-5.6 Sol | 59.8% | published v1, Codex | Jul 2026 | Official leaderboard |
| 9 | Grok 4.6 | 59.1% | published v1, Pi | Aug 2026 | Official leaderboard |
| 10 | | 59.1% | published v1, Pi | Sep 2026 | Official leaderboard |
| 11 | Grok 4.7 | 58.5% | published v1, Pi | Sep 2026 | Official leaderboard |
| 12 | GPT-6.1 Terra | 58.3% | published v1, Pi | Oct 2026 | Official leaderboard |
| 13 | Claude Opus 4.8 | 58.2% | May 2026 | Lab model card | |
| 14 | GPT-5.5 | 57.1% | published v1, Pi | Apr 2026 | Official leaderboard |
| 15 | Claude Haiku 5.5 | 56.2% | Oct 2026 | Lab model card | |
| 16 | Claude Sonnet 5 | 56% | Jun 2026 | Lab model card | |
| 17 | | 54.7% | published v1, Pi | Sep 2026 | Official leaderboard |
| 18 | GPT-6 Luna | 53.9% | published v1, Pi | Sep 2026 | Official leaderboard |
| 19 | | 53% | published v1, Pi | Oct 2026 | Official leaderboard |
| 20 | Claude Opus 4.7 | 52.5% | published v1, Claude Code | Apr 2026 | Official leaderboard |
| 21 | | 50.4% | published v1, Pi | Aug 2026 | Official leaderboard |
| 22 | GPT-5.6 Luna | 50.3% | published v1, Pi | Jul 2026 | Official leaderboard |
| 23 | GLM-5.3 | 48.7% | published v1, Pi | Aug 2026 | Official leaderboard |
| 24 | Kimi K3 | 47.5% | published v1, Pi | Jul 2026 | Official leaderboard |
| 25 | Claude Sonnet 4.6 | 41.7% | published v1, Claude Code | Feb 2026 | Official leaderboard |
| 26 | | 34% | published v1, Pi | Sep 2026 | Official leaderboard |
| 27 | | 22.9% | published v1, Pi | Aug 2026 | Official leaderboard |
Labs report scores for 7 models in their cards. Switch the scores above to rank them together.
6 models have held number one on the official leaderboard since its release in February 2026 8 models have held number one with claims included since its release in February 2026
Lab claims count from the day the card came out, independent runs from the model’s release. We draw one row each for the benchmark’s own leaderboard and what labs claim in their cards.
Sources: Official scBench (LatchBio SingleCellBench) leaderboard and labs’ model cards
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official scBench (LatchBio SingleCellBench) leaderboard and labs’ model cards
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
7 system cards report it, from 1 lab
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Oct 7, 2026 | Claude Haiku 5.5 system card | 56.2 | LatchBio Bioinformatics, SingleCellBench, max effort, safeguards off (8.13.1, CB-1 evaluation in 2.2.2) | Bio and chem risk |
| Sep 28, 2026 | Claude Sonnet 5.5 system card | 59.1 | LatchBio SingleCellBench (8.17.2, Figure 8.17.A) | Capabilities |
| Sep 22, 2026 | Claude Opus 5.5 system card | 61.2 | LatchBio Bioinformatics, SingleCellBench, 195 problems, max effort (8.17.2) | Capabilities |
| Sep 1, 2026 | Claude Fable 5.1 system card | 61.9 | LatchBio SingleCellBench, Mythos 5.1 | Other |
| Jul 24, 2026 | Claude Opus 5 system card | 60.6 | LatchBio Bioinformatics, SingleCellBench, 195 problems (8.17.2) | Capabilities |
| Jun 30, 2026 | Claude Sonnet 5 system card | 56 | LatchBio SingleCellBench, 195 problems, score 0.56 (8.14.2, Figure 8.14.6.A) | Capabilities |
| May 28, 2026 | Claude Opus 4.8 system card | 58.2 | LatchBio Bioinformatics, SingleCellBench, no extended thinking (8.16.3) | Capabilities |
The lab's number comes out ahead in 4 of 6 pairs that differ
Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. Every benchmark.
| Model | Lab says | Board says | Gap |
|---|---|---|---|
| Claude Opus 5 | 60.6% LatchBio Bioinformatics, SingleCellBench, 195 problems (8.17.2) | 58.3% Leaderboard, published v1, Pi | +2.3 pts |
| Claude Fable 5.1 | 61.9% LatchBio SingleCellBench, Mythos 5.1 | 60.5% Leaderboard, published v1; LSVP, Pi | +1.4 pts |
| Claude Sonnet 5.5 | 59.1% LatchBio SingleCellBench (8.17.2, Figure 8.17.A) | 60.3% Leaderboard, published v1, Pi | −1.2 pts |
| Claude Opus 4.8 | 58.2% LatchBio Bioinformatics, SingleCellBench, no extended thinking (8.16.3) | 57.1% Leaderboard, published v1, Pi | +1.1 pts |
| Claude Opus 5.5 | 61.2% LatchBio Bioinformatics, SingleCellBench, 195 problems, max effort (8.17.2) | 61.9% Leaderboard, published v1; LSVP, Pi | −0.7 pts |
| Claude Sonnet 5 | 56% LatchBio SingleCellBench, 195 problems, score 0.56 (8.14.2, Figure 8.14.6.A) | 55.6% Leaderboard, published v1, Pi | +0.4 pts |
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